📄🎙️ PaperParser

PaperParser transforms academic research papers into podcasts 🎧 and PowerPoint presentations 📊.
By combining AI summarization and automated content generation, it makes scholarly content easier to consume and share.

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🚀 Features

• 🎧 Podcast Generation – Listen to research papers in audio format
• 📊 Presentation Creation – Auto-generate slide decks with key insights
• 📄 PDF Parsing – Extract text and structure from uploaded research papers
• ☁️ Cloud Integration – Secure storage and authentication with Supabase

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🛠️ Technologies Used

🔙 Backend

• ⚡ Node.js + Express.js – Core API server
• 🧠 Gemini API – Summarization and content generation
• 📄 PyMuPDF – High-quality PDF text parsing
• ☁️ Supabase – Database + authentication layer
• 🐳 Docker – Containerized backend for easy deployment

🎨 Frontend

• ⚛️ Next.js (React + TypeScript) – Modern frontend framework
• 🌀 Tailwind CSS – Utility-first styling for responsive UI

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⚙️ Installation

1️⃣ Clone the Repository

git clone https://github.com/P1Manav/PaperParser.git
cd PaperParser

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2️⃣ Backend Setup (Dockerized 🐳)

Navigate to backend:

cd backend

Create a .env file (sample):

SUPABASE_URL=
SUPABASE_SERVICE_ROLE_KEY=
GEMINI_API_KEY=
google_api_key=
PORT=5000
NODE_ENV=

Build Docker image:

docker build -t paperparser_image .

Run the container:

docker run --env-file .env -p 5000:5000 --name paperparser_container paperparser_image

📌 Backend runs at: http://localhost:5000

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3️⃣ Frontend Setup

Navigate to frontend:

cd ../frontend

Create .env.local file (sample):

NEXT_PUBLIC_SUPABASE_URL=
NEXT_PUBLIC_SUPABASE_ANON_KEY=
GEMINI_API_KEY=
NEXT_PUBLIC_API_URL=http://localhost:5000

Install dependencies:

npx yarn install

Run development server:

npx yarn dev

📌 Frontend runs at: http://localhost:3000

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🎯 Usage

1. 📄 Upload a PDF in the frontend
2. ⚙️ Choose output → Podcast 🎧 or Presentation 📊
3. ⬇️ Download or play the result directly

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🤝 Contributing

Contributions are welcome! 🚀

• Open an issue for bugs or feature requests
• Submit a PR to help improve PaperParser

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